AIMC Topic: Movement
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Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration.
Biomedical physics & engineering express
Dec 23, 2024
. Previous work has that deep learning (DL)-enhanced 4D cone beam computed tomography (4D-CBCT) images improve motion modeling and subsequent motion-compensated (MoCo) reconstruction for 4D-CBCT. However, building the motion model at treatment time v...
Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson's Disease Mobility Assessments.
Sensors (Basel, Switzerland)
Dec 19, 2024
Mobility tasks like the Timed Up and Go test (TUG), cognitive TUG (cogTUG), and walking with turns provide insights into the impact of Parkinson's disease (PD) on motor control, balance, and cognitive function. We assess the test-retest reliability o...
Enhancing artificial intelligence-driven sleep apnea diagnosis: The critical importance of input signal proficiency with a focus on mandibular jaw movements.
Journal of prosthodontics : official journal of the American College of Prosthodontists
Dec 15, 2024
PURPOSE: This review aims to highlight the pivotal role of the mandibular jaw movement (MJM) signal in advancing artificial intelligence (AI)-powered technologies for diagnosing obstructive sleep apnea (OSA).
Human-in-the-Loop Modeling and Bilateral Skill Transfer Control of Soft Exoskeleton.
Sensors (Basel, Switzerland)
Dec 8, 2024
Soft exoskeletons (exosuits) are expected to provide a comfortable wearing experience and compliant assistance compared with traditional rigid exoskeleton robots. In this paper, an exosuit with twisted string actuators (TSAs) is developed to provide ...
Identifying Infant Body Position from Inertial Sensors with Machine Learning: Which Parameters Matter?
Sensors (Basel, Switzerland)
Dec 6, 2024
The efficient classification of body position is crucial for monitoring infants' motor development. It may fast-track the early detection of developmental issues related not only to the acquisition of motor milestones but also to postural stability a...
Using deep learning to classify developmental differences in reaching and placing movements in children with and without autism spectrum disorder.
Scientific reports
Dec 5, 2024
Autism Spectrum Disorder (ASD) is among the most prevalent neurodevelopmental disorders, yet the current diagnostic procedures rely on behavioral analyses and interviews, without objective screening methods to support the diagnostic process. This stu...
Real-time 3D MR guided radiation therapy through orthogonal MR imaging and manifold learning.
Medical physics
Dec 3, 2024
BACKGROUND: In magnetic resonance image (MRI)-guided radiotherapy (MRgRT), 2D rapid imaging is commonly used to track moving targets with high temporal frequency to minimize gating latency. However, anatomical motion is not constrained to 2D, and a p...
Deep learning methods for 3D magnetic resonance image denoising, bias field and motion artifact correction: a comprehensive review.
Physics in medicine and biology
Nov 28, 2024
Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organs and soft tissue regions of a patient in clinical diagnosis for disease detection, localization, and progress monitoring. MRI scanner hardware manufa...
Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat.
Scientific reports
Nov 27, 2024
Marker-based optical motion capture systems have been used as a cardinal vehicle to probe and understand the underpinning mechanism of human posture and movement, but it is time-consuming for complex and delicate data acquisition and analysis, labor-...
Human motion recognition based on feature fusion and residual networks.
Scientific reports
Nov 24, 2024
Addressing the issue of low recognition accuracy in human motion detection when relying on a single feature, a novel approach integrating Frequency Modulated Continuous Wave (FMCW) radar technology with a Residual Network (ResNet) architecture has be...
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